Skip to main content

Noninvasive Diagnostic Approach to NASH: Radiological Diagnostics

  • Chapter
  • First Online:
Non-Alcoholic Fatty Liver Disease

Abstract

Nonalcoholic fatty liver disease (NAFLD) and its more aggressive form, nonalcoholic steatohepatitis (NASH), have become leading causes of chronic liver disease worldwide given the obesity epidemic. Unlike many other forms of chronic liver disease that have simple, highly accurate diagnostic algorithms, NAFLD and, in particular, NASH can be quite challenging to diagnose noninvasively. In this setting, identification of noninvasive biomarkers with excellent sensitivity and specificity for NASH has become a focal point within hepatology, given the disease prevalence and potential associated morbidity and mortality. Imaging diagnostic tests for NASH including ultrasound and MRI-based approaches have produced very promising data to accurately characterize hepatic steatosis and fibrosis. More recent data has also shown that radiological diagnostics have good accuracy to assess for NASH specifically. In this chapter, we will highlight the current data in support of imaging protocols for noninvasive diagnosis of NASH and outline areas in need of further investigation in this realm.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Chalasani N, Younossi Z, Lavine JE, Charlton M, Cusi K, Rinella M, et al. The diagnosis and management of nonalcoholic fatty liver disease: practice guidance from the American Association for the Study of Liver Diseases. Hepatology. 2018;67(1):328–57.

    PubMed  Google Scholar 

  2. Hamer OW, Aguirre DA, Casola G, Lavine JE, Woenckhaus M, Sirlin CB. Fatty liver: imaging patterns and pitfalls. Radiographics. 2006;26(6):1637–53.

    PubMed  Google Scholar 

  3. Strauss S, Gavish E, Gottlieb P, Katsnelson L. Interobserver and intraobserver variability in the sonographic assessment of fatty liver. AJR Am J Roentgenol. 2007;189(6):W320–3.

    PubMed  Google Scholar 

  4. Khov N, Sharma A, Riley TR. Bedside ultrasound in the diagnosis of nonalcoholic fatty liver disease. World J Gastroenterol. 2014;20(22):6821–5.

    PubMed  PubMed Central  Google Scholar 

  5. Saadeh S, Younossi ZM, Remer EM, Gramlich T, Ong JP, Hurley M, et al. The utility of radiological imaging in nonalcoholic fatty liver disease. Gastroenterology. 2002;123(3):745–50.

    PubMed  Google Scholar 

  6. Mottin CC, Moretto M, Padoin AV, Swarowsky AM, Toneto MG, Glock L, et al. The role of ultrasound in the diagnosis of hepatic steatosis in morbidly obese patients. Obes Surg. 2004;14(5):635–7.

    PubMed  Google Scholar 

  7. de Moura AA, Cotrim HP, Barbosa DB, de Athayde LG, Santos AS, Bitencourt AG, et al. Fatty liver disease in severe obese patients: diagnostic value of abdominal ultrasound. World J Gastroenterol. 2008;14(9):1415–8.

    Google Scholar 

  8. Lin SC, Heba E, Wolfson T, Ang B, Gamst A, Han A, et al. Noninvasive diagnosis of nonalcoholic fatty liver disease and quantification of liver fat using a new quantitative ultrasound technique. Clin Gastroenterol. 2015;13(7):1337–45.e6.

    Google Scholar 

  9. Karlas T, Petroff D, Sasso M, Fan JG, Mi YQ, de Ledinghen V, et al. Individual patient data meta-analysis of controlled attenuation parameter (CAP) technology for assessing steatosis. J Hepatol. 2017;66(5):1022–30.

    PubMed  Google Scholar 

  10. Petta S, Wong VW, Camma C, Hiriart JB, Wong GL, Marra F, et al. Improved noninvasive prediction of liver fibrosis by liver stiffness measurement in patients with nonalcoholic fatty liver disease accounting for controlled attenuation parameter values. Hepatology. 2017;65(4):1145–55.

    CAS  PubMed  Google Scholar 

  11. Chan WK, Nik Mustapha NR, Wong GL, Wong VW, Mahadeva S. Controlled attenuation parameter using the FibroScan(R) XL probe for quantification of hepatic steatosis for non-alcoholic fatty liver disease in an Asian population. United European Gastroenterol J. 2017;5(1):76–85.

    PubMed  Google Scholar 

  12. Wong VW, Petta S, Hiriart JB, Camma C, Wong GL, Marra F, et al. Validity criteria for the diagnosis of fatty liver by M probe-based controlled attenuation parameter. J Hepatol. 2017;67(3):577–84.

    PubMed  Google Scholar 

  13. Eddowes PJ, Sasso M, Allison M, Tsochatzis E, Anstee QM, Sheridan D, et al. Accuracy of FibroScan controlled attenuation parameter and liver stiffness measurement in assessing steatosis and fibrosis in patients with nonalcoholic fatty liver disease. Gastroenterology. 2019;156(6):1717–30.

    PubMed  Google Scholar 

  14. Kodama Y, Ng CS, Wu TT, Ayers GD, Curley SA, Abdalla EK, et al. Comparison of CT methods for determining the fat content of the liver. AJR Am J Roentgenol. 2007;188(5):1307–12.

    PubMed  Google Scholar 

  15. Park SH, Kim PN, Kim KW, Lee SW, Yoon SE, Park SW, et al. Macrovesicular hepatic steatosis in living liver donors: use of CT for quantitative and qualitative assessment. Radiology. 2006;239(1):105–12.

    PubMed  Google Scholar 

  16. Reeder SB, Cruite I, Hamilton G, Sirlin CB. Quantitative assessment of liver fat with magnetic resonance imaging and spectroscopy. J Magn Reson Imaging. 2011;34(4):729–49.

    PubMed  PubMed Central  Google Scholar 

  17. Dulai PS, Sirlin CB, Loomba R. MRI and MRE for non-invasive quantitative assessment of hepatic steatosis and fibrosis in NAFLD and NASH: clinical trials to clinical practice. J Hepatol. 2016;65(5):1006–16.

    PubMed  PubMed Central  Google Scholar 

  18. Paige JS, Bernstein GS, Heba E, Costa EAC, Fereirra M, Wolfson T, et al. A pilot comparative study of quantitative ultrasound, conventional ultrasound, and MRI for predicting histology-determined steatosis grade in adult nonalcoholic fatty liver disease. AJR Am J Roentgenol. 2017;208(5):W168–w77.

    PubMed  PubMed Central  Google Scholar 

  19. Yokoo T, Serai SD, Pirasteh A, Bashir MR, Hamilton G, Hernando D, et al. Linearity, bias, and precision of hepatic proton density fat fraction measurements by using MR imaging: a meta-analysis. Radiology. 2018;286(2):486–98.

    PubMed  Google Scholar 

  20. Imajo K, Kessoku T, Honda Y, Tomeno W, Ogawa Y, Mawatari H, et al. Magnetic resonance imaging more accurately classifies steatosis and fibrosis in patients with nonalcoholic fatty liver disease than transient elastography. Gastroenterology. 2016;150(3):626–637.e7.

    PubMed  Google Scholar 

  21. Park CC, Nguyen P, Hernandez C, Bettencourt R, Ramirez K, Fortney L, et al. Magnetic resonance elastography vs transient elastography in detection of fibrosis and noninvasive measurement of steatosis in patients with biopsy-proven nonalcoholic fatty liver disease. Gastroenterology. 2017;152(3):598–607.e2.

    PubMed  Google Scholar 

  22. Middleton MS, Heba ER, Hooker CA, Bashir MR, Fowler KJ, Sandrasegaran K, et al. Agreement between magnetic resonance imaging proton density fat fraction measurements and pathologist-assigned steatosis grades of liver biopsies from adults with nonalcoholic steatohepatitis. Gastroenterology. 2017;153(3):753–61.

    PubMed  PubMed Central  Google Scholar 

  23. Petitclerc L, Sebastiani G, Gilbert G, Cloutier G, Tang A. Liver fibrosis: review of current imaging and MRI quantification techniques. J Magn Reson Imaging. 2017;45(5):1276–95.

    PubMed  Google Scholar 

  24. Arena U, Vizzutti F, Corti G, Ambu S, Stasi C, Bresci S, et al. Acute viral hepatitis increases liver stiffness values measured by transient elastography. Hepatology. 2008;47(2):380–4.

    CAS  PubMed  Google Scholar 

  25. Millonig G, Friedrich S, Adolf S, Fonouni H, Golriz M, Mehrabi A, et al. Liver stiffness is directly influenced by central venous pressure. J Hepatol. 2010;52(2):206–10.

    PubMed  Google Scholar 

  26. Bardou-Jacquet E, Legros L, Soro D, Latournerie M, Guillygomarc'h A, Le Lan C, et al. Effect of alcohol consumption on liver stiffness measured by transient elastography. World J Gastroenterol. 2013;19(4):516–22.

    PubMed  PubMed Central  Google Scholar 

  27. Palmeri ML, Wang MH, Rouze NC, Abdelmalek MF, Guy CD, Moser B, et al. Noninvasive evaluation of hepatic fibrosis using acoustic radiation force-based shear stiffness in patients with nonalcoholic fatty liver disease. J Hepatol. 2011;55(3):666–72.

    PubMed  PubMed Central  Google Scholar 

  28. Liu H, Fu J, Hong R, Liu L, Li F. Acoustic radiation force impulse elastography for the non-invasive evaluation of hepatic fibrosis in non-alcoholic fatty liver disease patients: a systematic review & meta-analysis. PLoS One. 2015;10(7):e0127782.

    PubMed  PubMed Central  Google Scholar 

  29. Cassinotto C, Boursier J, de Ledinghen V, Lebigot J, Lapuyade B, Cales P, et al. Liver stiffness in nonalcoholic fatty liver disease: a comparison of supersonic shear imaging, FibroScan, and ARFI with liver biopsy. Hepatology. 2016;63(6):1817–27.

    PubMed  Google Scholar 

  30. de Ledinghen V, Vergniol J, Capdepont M, Chermak F, Hiriart JB, Cassinotto C, et al. Controlled attenuation parameter (CAP) for the diagnosis of steatosis: a prospective study of 5323 examinations. J Hepatol. 2014;60(5):1026–31.

    PubMed  Google Scholar 

  31. Foucher J, Castera L, Bernard PH, Adhoute X, Laharie D, Bertet J, et al. Prevalence and factors associated with failure of liver stiffness measurement using FibroScan in a prospective study of 2114 examinations. Eur J Gastroenterol Hepatol. 2006;18(4):411–2.

    PubMed  Google Scholar 

  32. Vuppalanchi R, Siddiqui MS, Van Natta ML, Hallinan E, Brandman D, Kowdley K, et al. Performance characteristics of vibration-controlled transient elastography for evaluation of nonalcoholic fatty liver disease. Hepatology. 2018;67(1):134–44.

    PubMed  Google Scholar 

  33. de Ledinghen V, Wong VW, Vergniol J, Wong GL, Foucher J, Chu SH, et al. Diagnosis of liver fibrosis and cirrhosis using liver stiffness measurement: comparison between M and XL probe of FibroScan(R). J Hepatol. 2012;56(4):833–9.

    PubMed  Google Scholar 

  34. Wong VW, Vergniol J, Wong GL, Foucher J, Chan AW, Chermak F, et al. Liver stiffness measurement using XL probe in patients with nonalcoholic fatty liver disease. Am J Gastroenterol. 2012;107(12):1862–71.

    PubMed  Google Scholar 

  35. Wong VW, Vergniol J, Wong GL, Foucher J, Chan HL, Le Bail B, et al. Diagnosis of fibrosis and cirrhosis using liver stiffness measurement in nonalcoholic fatty liver disease. Hepatology. 2010;51(2):454–62.

    CAS  PubMed  Google Scholar 

  36. Gaia S, Carenzi S, Barilli AL, Bugianesi E, Smedile A, Brunello F, et al. Reliability of transient elastography for the detection of fibrosis in non-alcoholic fatty liver disease and chronic viral hepatitis. J Hepatol. 2011;54(1):64–71.

    PubMed  Google Scholar 

  37. Venkatesh SK, Ehman RL. Magnetic resonance elastography of liver. Magn Reson Imaging Clin N Am. 2014;22(3):433–46.

    PubMed  Google Scholar 

  38. Banerjee R, Pavlides M, Tunnicliffe EM, Piechnik SK, Sarania N, Philips R, et al. Multiparametric magnetic resonance for the non-invasive diagnosis of liver disease. J Hepatol. 2014;60(1):69–77.

    PubMed  PubMed Central  Google Scholar 

  39. Singh S, Venkatesh SK, Wang Z, Miller FH, Motosugi U, Low RN, et al. Diagnostic performance of magnetic resonance elastography in staging liver fibrosis: a systematic review and meta-analysis of individual participant data. Clin Gastroenterol Hepatol. 2015;13(3):440–451.e6.

    PubMed  Google Scholar 

  40. Cui J, Heba E, Hernandez C, Haufe W, Hooker J, Andre MP, et al. Magnetic resonance elastography is superior to acoustic radiation force impulse for the diagnosis of fibrosis in patients with biopsy-proven nonalcoholic fatty liver disease: a prospective study. Hepatology. 2016;63(2):453–61.

    PubMed  Google Scholar 

  41. Chen J, Yin M, Talwalkar JA, Oudry J, Glaser KJ, Smyrk TC, et al. Diagnostic performance of MR elastography and vibration-controlled transient elastography in the detection of hepatic fibrosis in patients with severe to morbid obesity. Radiology. 2017;283(2):418–28.

    PubMed  Google Scholar 

  42. Loomba R, Cui J, Wolfson T, Haufe W, Hooker J, Szeverenyi N, et al. Novel 3D magnetic resonance elastography for the noninvasive diagnosis of advanced fibrosis in NAFLD: a prospective study. Am J Gastroenterol. 2016;111(7):986–94.

    PubMed  PubMed Central  Google Scholar 

  43. Pavlides M, Banerjee R, Sellwood J, Kelly CJ, Robson MD, Booth JC, et al. Multiparametric magnetic resonance imaging predicts clinical outcomes in patients with chronic liver disease. J Hepatol. 2016;64(2):308–15.

    PubMed  PubMed Central  Google Scholar 

  44. Wang QB, Zhu H, Liu HL, Zhang B. Performance of magnetic resonance elastography and diffusion-weighted imaging for the staging of hepatic fibrosis: a meta-analysis. Hepatology. 2012;56(1):239–47.

    PubMed  Google Scholar 

  45. Chen J, Talwalkar JA, Yin M, Glaser KJ, Sanderson SO, Ehman RL. Early detection of nonalcoholic steatohepatitis in patients with nonalcoholic fatty liver disease by using MR elastography. Radiology. 2011;259(3):749–56.

    PubMed  PubMed Central  Google Scholar 

  46. Lee HW, Park SY, Kim SU, Jang JY, Park H, Kim JK, et al. Discrimination of nonalcoholic steatohepatitis using transient elastography in patients with nonalcoholic fatty liver disease. PLoS One. 2016;11(6):e0157358.

    PubMed  PubMed Central  Google Scholar 

  47. Sasso M, Chan WK, Harrison SA, Czernichow S, Allison MED, Tsochatzis EA, et al. Fibroscan-based score (FS3) to identify nash patients with NAS≥4 and F≥2: development in a NAFLD UK cohort-external validation in a Malaysian NAFLD cohort, a us screening cohort and a French bariatric surgery cohort. Hepatology. 2018;68:87A–8A.

    Google Scholar 

  48. Braticevici CF, Alexandru M, Tribus L, Razvan P, Ana P, Necula A, et al. Comparing of noninvasive tests in predicting diagnosis of nonalcoholic steatohepatitis. J Hepatol. 2018;68:S575.

    Google Scholar 

  49. Loomba R, Wolfson T, Ang B, Hooker J, Behling C, Peterson M, et al. Magnetic resonance elastography predicts advanced fibrosis in patients with nonalcoholic fatty liver disease: a prospective study. Hepatology. 2014;60(6):1920–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  50. Eddowes PJ, McDonald N, Davies N, Semple SIK, Kendall TJ, Hodson J, et al. Utility and cost evaluation of multiparametric magnetic resonance imaging for the assessment of non-alcoholic fatty liver disease. Aliment Pharmacol Ther. 2018;47(5):631–44.

    CAS  PubMed  Google Scholar 

  51. Allen AM, Yin M, Venkatesh SK, Mounajjed T, Kellogg TA, Kendrick ML, et al. Novel multiparametric magnetic resonance elastography (MRE) protocol accurately predicts NAS score for NASH diagnosis. J Hepatol. 2017;66(1):S659–S60.

    Google Scholar 

  52. Pavlides M, Banerjee R, Tunnicliffe EM, Kelly C, Collier J, Wang LM, et al. Multiparametric magnetic resonance imaging for the assessment of non-alcoholic fatty liver disease severity. Liver Int. 2017;37(7):1065–73.

    CAS  PubMed  PubMed Central  Google Scholar 

  53. Yin M, Glaser KJ, Manduca A, Mounajjed T, Malhi H, Simonetto DA, et al. Distinguishing between hepatic inflammation and fibrosis with MR elastography. Radiology. 2017;284(3):694–705.

    PubMed  PubMed Central  Google Scholar 

  54. Harrison S, Wilman H, Kelly M, Bachtiar V, Dennis A, Kelly C, et al. Prevalence and stratification of NAFLD/NASH in a UK and US cohort using non-invasive multiparametric MRI. J Hepatol. 2018;68:S550.

    Google Scholar 

  55. McKay A, Dennis A, Kelly M, Fallowfield JA, Hirschfield G, Neubauer S, et al. Multi-parametric MRI as a composite biomarker for NASH and NASH with fibrosis. Hepatology. 2018;68:954A–5A.

    Google Scholar 

  56. Gallego-Duran R, Cerro-Salido P, Gomez-Gonzalez E, Pareja MJ, Ampuero J, Rico MC, et al. Imaging biomarkers for steatohepatitis and fibrosis detection in non-alcoholic fatty liver disease. Sci Rep. 2016;6:31421.

    CAS  PubMed  PubMed Central  Google Scholar 

  57. Allen AM, Venkatesh SK, Mounajjed T, Kellogg TA, Kendrick M, McKenzie TJ, et al. Novel multiparametric magnetic resonance elastography (MRE) protocol accurately predicts early NASH and disease activity. Hepatology. 2017;66:104A.

    Google Scholar 

  58. Noureddin M, Sundaram V, Ayoub WS, Han MAT, Grotts JF, Saouaf R, et al. The performance of MRI-proton density fat fraction (PDFF) and MR elastography (MRE) in diagnosing nonalcoholic steatohepatitis (NASH) noninvasively. Hepatology. 2018;68:1327A–8A.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Tincopa, M.A., Harrison, S.A. (2020). Noninvasive Diagnostic Approach to NASH: Radiological Diagnostics. In: Bugianesi, E. (eds) Non-Alcoholic Fatty Liver Disease. Springer, Cham. https://doi.org/10.1007/978-3-319-95828-6_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-95828-6_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95827-9

  • Online ISBN: 978-3-319-95828-6

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics